A Framework for Generating Large Data Sets for Fatigue Damage Prognostic Problems. - Anass Akrim; Christian Gogu; Thomas Guillebot de Nerville; Paul Strähle; Brondon Waffa Pagou; Michel Salaün; Rob A. Vingerhoeds (ICPHM, 2022)

Prediction of the remaining useful life of aircraft components with deep learning methods. (Prédiction de durées de vie restante de composants aéronautiques par des approches de deep learning). - Anass Akrim (2022)

Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem. - Anass Akrim; Christian Gogu; Rob A. Vingerhoeds; Michel Salaün (Eng. Appl. Artif. Intell., 2023)